Os07g0147900 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
Os07g0147900 antibody; LOC_Os07g05400 antibody; OsJ_23093 antibody; P0022E03.21-1Ferredoxin--NADP reductase antibody; embryo isozyme antibody; chloroplastic antibody; FNR antibody; EC 1.18.1.2 antibody
Target Names
Os07g0147900
Uniprot No.

Target Background

Function
This antibody targets a protein that plays a crucial role in regulating the balance between cyclic and non-cyclic electron flow within plants. This regulation is essential for meeting the plant's demands for ATP and reducing power. Furthermore, this protein is implicated in the process of nitrate assimilation.
Database Links

KEGG: osa:4342399

STRING: 39947.LOC_Os07g05400.1

UniGene: Os.1

Protein Families
Ferredoxin--NADP reductase type 1 family
Subcellular Location
Plastid, chloroplast.

Q&A

What is Os07g0147900 Antibody and what specific target does it recognize?

Os07g0147900 Antibody is a polyclonal antibody raised in rabbit that specifically targets the recombinant Oryza sativa subsp. japonica (Rice) Os07g0147900 protein. This antibody has been affinity-purified and is designed for research applications focused on rice biology. The target protein (Uniprot No. O23877) plays important roles in rice cellular functions that can be studied using this antibody .

What validated applications can Os07g0147900 Antibody be used for?

Os07g0147900 Antibody has been validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications. These techniques allow researchers to detect and quantify the target protein in various experimental contexts. The antibody has undergone antigen affinity purification to ensure specific binding to the target protein in these applications . Current validation approaches increasingly rely on knockout cell models as controls, although this specific method is more common in mammalian systems than plant research .

What are the recommended storage and handling protocols for this antibody?

Proper storage is critical for maintaining antibody performance. Os07g0147900 Antibody should be stored at -20°C or -80°C upon receipt. It's crucial to avoid repeated freeze-thaw cycles as these can degrade antibody quality and performance. The antibody is supplied in liquid form containing 50% glycerol and 0.01M PBS (pH 7.4) with 0.03% Proclin 300 as a preservative . When handling, always use appropriate lab safety protocols and maintain sterile technique to prevent contamination.

What positive and negative controls should be implemented in experiments?

For rigorous experimental design, researchers should utilize:

Positive Controls:

  • Recombinant Os07g0147900 protein (the immunogen)

  • Rice tissue samples known to express the target protein

  • Previous successful experimental samples

Negative Controls:

  • Samples from non-rice species

  • Secondary antibody-only controls

  • Ideally, knockout or knockdown rice variants lacking the target protein

Recent large-scale antibody validation studies emphasize that using knockout models provides the most rigorous specificity testing, allowing researchers to distinguish true from false signals with high confidence .

How does the polyclonal nature of Os07g0147900 Antibody affect experimental design and interpretation?

The polyclonal nature of Os07g0147900 Antibody means it contains a heterogeneous mixture of antibodies that recognize multiple epitopes on the target protein. This provides advantages and considerations for experimental design:

Advantages:

  • Enhanced sensitivity due to binding of multiple epitopes

  • Greater tolerance to minor protein denaturation or modifications

  • Often more robust across different applications

Experimental Considerations:

  • May exhibit batch-to-batch variation requiring validation of each lot

  • Potential for increased background compared to monoclonal antibodies

  • Possible cross-reactivity with highly homologous proteins

When designing experiments, researchers should include appropriate controls to account for these characteristics. Validation using techniques like peptide competition assays may help confirm specificity .

What are the critical factors for optimizing Western Blot protocols with Os07g0147900 Antibody?

Optimizing Western Blot protocols for Os07g0147900 Antibody requires attention to several critical parameters:

ParameterRecommended Optimization Approach
Blocking bufferTest 3-5% BSA vs. 5% non-fat milk in TBS-T
Antibody dilutionBegin with 1:1000, test range from 1:500-1:2000
Incubation timePrimary: 1-2 hrs at RT or overnight at 4°C
Washing steps3-5 washes, 5-10 minutes each with TBS-T
Detection methodHRP-conjugated secondary with appropriate chemiluminescence system

Additionally, protein extraction methods from rice tissue may require optimization, as plant tissues often contain compounds that can interfere with antibody binding. Consider using specialized plant protein extraction buffers that include reducing agents and protease inhibitors .

How can computational approaches enhance the use and validation of Os07g0147900 Antibody?

Computational approaches can significantly improve antibody use and validation through:

  • Epitope prediction and analysis: Computational tools like RosettaAntibodyDesign (RAbD) can analyze potential epitopes on the Os07g0147900 protein, helping researchers predict antibody binding sites and potential cross-reactivity with similar proteins .

  • Structural modeling: Three-dimensional modeling of antibody-antigen interactions can provide insights into binding mechanisms and help troubleshoot experimental issues.

  • Cross-reactivity assessment: Computational analysis of protein sequence homology across species can identify potential cross-reactive proteins, guiding experimental design and interpretation .

  • Performance prediction: Advanced algorithms can predict antibody performance across different applications based on sequence and structural features, potentially saving time in experimental optimization .

These computational approaches complement experimental validation and can help researchers develop more robust protocols for Os07g0147900 Antibody use.

What is the recommended protocol for using Os07g0147900 Antibody in Western Blot applications?

Detailed Western Blot Protocol for Os07g0147900 Antibody:

  • Sample Preparation:

    • Extract total protein from rice tissues using appropriate buffer (e.g., RIPA buffer with protease inhibitors)

    • Determine protein concentration using Bradford or BCA assay

    • Prepare samples with Laemmli buffer containing β-mercaptoethanol

    • Heat samples at 95°C for 5 minutes

  • Gel Electrophoresis:

    • Load 20-50 μg protein per lane on 10-12% SDS-PAGE gel

    • Include molecular weight markers

    • Run at 100-120V until sufficient separation is achieved

  • Transfer:

    • Transfer proteins to PVDF or nitrocellulose membrane (0.45 μm)

    • Use wet transfer at 100V for 60-90 minutes or 30V overnight at 4°C

  • Antibody Incubation:

    • Block membrane with 5% non-fat milk or BSA in TBS-T for 1 hour at room temperature

    • Incubate with Os07g0147900 Antibody at 1:1000 dilution in blocking buffer overnight at 4°C

    • Wash 3-5 times with TBS-T, 5-10 minutes each

    • Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour at room temperature

    • Wash 3-5 times with TBS-T, 5-10 minutes each

  • Detection:

    • Apply ECL substrate according to manufacturer's instructions

    • Expose to X-ray film or capture image using digital imaging system

    • Expected molecular weight should be verified based on the target protein

How should ELISA protocols be optimized when using Os07g0147900 Antibody?

ELISA Optimization Strategy:

  • Coating Optimization:

    • Test coating buffers: Carbonate/Bicarbonate (pH 9.6) vs. PBS (pH 7.4)

    • Optimize antigen concentration: 1-10 μg/ml

    • Evaluate coating time: 2 hours at room temperature vs. overnight at 4°C

  • Blocking Optimization:

    • Test different blocking agents: 1-5% BSA, 2-5% non-fat milk, or commercial blocking buffers

    • Optimize blocking time: 1-2 hours at room temperature

  • Antibody Dilution Matrix:

    Primary Ab DilutionSecondary Ab Dilution
    1:5001:5000
    1:10001:5000
    1:20001:5000
    1:10001:10000
  • Detection System:

    • HRP-based colorimetric detection using TMB substrate

    • Optimize development time: 5-30 minutes

    • Stop reaction with 2N H₂SO₄ and read absorbance at 450 nm

  • Controls:

    • Include standard curve with recombinant protein

    • No-primary and no-secondary antibody controls

    • Non-specific antibody control

    • Extract from non-rice species as negative control

What are the most effective approaches for troubleshooting non-specific binding when using Os07g0147900 Antibody?

When encountering non-specific binding with Os07g0147900 Antibody, implement the following structured troubleshooting approach:

  • Optimize Blocking:

    • Increase blocking reagent concentration (5-10%)

    • Test alternative blocking agents (BSA, casein, commercial blockers)

    • Extend blocking time to 2-3 hours or overnight at 4°C

  • Antibody Dilution and Incubation:

    • Use more dilute antibody solutions (1:2000-1:5000)

    • Add 0.1-0.5% non-ionic detergent (Tween-20) to antibody diluent

    • Consider shorter incubation times at room temperature instead of overnight incubation

  • Stringent Washing:

    • Increase number of washes (5-7 times)

    • Extend wash duration (10-15 minutes each)

    • Use higher detergent concentration in wash buffer (0.1-0.2% Tween-20)

  • Sample Preparation:

    • Pre-clear lysates with Protein A/G beads

    • Pre-absorb antibody with rice extract from non-target tissue

    • Filter lysates to remove particulates and aggregates

  • Cross-Adsorption:

    • Perform cross-adsorption with related plant proteins

    • Use peptide competition assays to confirm specificity

Recent antibody validation studies highlight that high background or non-specific binding is a common issue, with 20-30% of protein studies potentially using ineffective antibodies . Rigorous validation with controls is therefore essential for reliable results.

How should researchers validate Os07g0147900 Antibody specificity for their specific experimental system?

A comprehensive validation strategy for Os07g0147900 Antibody should include:

  • Knockout/Knockdown Validation:

    • If available, use CRISPR-edited rice lines lacking Os07g0147900

    • Alternatively, use RNAi or antisense lines with reduced expression

    • Compare antibody signal between wild-type and knockout/knockdown samples

  • Recombinant Protein Controls:

    • Test antibody against purified recombinant Os07g0147900 protein

    • Include dose-response curves to assess sensitivity and linearity

    • Test against related proteins to assess cross-reactivity

  • Orthogonal Detection Methods:

    • Correlate antibody results with mRNA expression data

    • Use mass spectrometry to confirm protein identity in immunoprecipitates

    • Compare results with other antibodies targeting the same protein (if available)

  • Application-Specific Validation:

    • For Western blot: Verify correct molecular weight and single band

    • For ELISA: Establish standard curves and detection limits

    • For immunofluorescence: Confirm expected subcellular localization

Comprehensive validation is especially important as large-scale studies have shown that many commercial antibodies fail to recognize their intended targets with the required specificity .

What metrics should be used to evaluate antibody performance across different experimental applications?

When evaluating Os07g0147900 Antibody performance, researchers should assess the following quantitative and qualitative metrics:

ApplicationKey Performance MetricsAcceptance Criteria
Western BlotSignal-to-noise ratio>5:1
Band specificitySingle band at expected MW
Limit of detectionDetect ≤100 ng total protein
ELISADynamic range≥2 logs of linear response
Limit of detectionDetermined by standard curve
Coefficient of variation<15% inter-assay
ImmunoprecipitationEnrichment factor>10× vs. input
Background proteinsMinimal non-specific pulldown

Additionally, metrics for reproducibility should include:

  • Intra-assay coefficient of variation (<10%)

  • Inter-assay coefficient of variation (<15%)

  • Lot-to-lot consistency assessment

Recombinant antibodies generally show better reproducibility than animal-derived polyclonal antibodies, but even with polyclonals, consistent performance should be expected within a single lot .

How does the research community's approach to antibody validation affect reproducibility in plant science research?

The research community's approach to antibody validation has significant implications for reproducibility in plant science research:

  • Current Validation Landscape:

    • Large-scale studies suggest that 20-30% of protein studies may use ineffective antibodies

    • Plant antibodies often have fewer validation resources compared to mammalian antibodies

    • Reproducibility challenges are exacerbated by inconsistent validation standards

  • Emerging Best Practices:

    • The optimal testing methodology increasingly relies on knockout models as controls

    • Multi-application validation (WB, IP, IF) provides stronger evidence of specificity

    • Recent findings suggest that success in immunofluorescence is the best predictor of performance in Western blot and immunoprecipitation applications

  • Community Initiatives:

    • Development of standardized validation protocols for plant antibodies

    • Open sharing of validation data through repositories

    • Independent validation by third parties

  • Future Directions:

    • Implementation of computational antibody design approaches for improved specificity

    • Integration of structural data to predict antibody performance

    • Development of plant-specific validation resources and knockout collections

Researchers using Os07g0147900 Antibody should contribute to improved standards by thoroughly documenting validation data in publications and sharing experiences with the research community.

What strategies can improve long-term antibody performance and storage stability?

To maximize the long-term performance and stability of Os07g0147900 Antibody:

  • Optimal Storage Conditions:

    • Store antibody aliquots at -20°C or -80°C as recommended

    • Prepare small working aliquots (10-50 μl) to avoid repeated freeze-thaw cycles

    • Include cryoprotectants if needed (already contains 50% glycerol)

    • Keep records of freeze-thaw cycles and performance

  • Stability Enhancement:

    • Add additional stabilizers if preparing working dilutions (e.g., 1% BSA)

    • Consider carrier proteins for very dilute solutions

    • Store working dilutions at 4°C with preservative for short-term use

  • Quality Monitoring:

    • Implement regular performance testing using standard samples

    • Monitor background levels and signal intensity over time

    • Document lot numbers and performance metrics for traceability

  • Reconstitution and Handling:

    • Follow manufacturer guidelines for any reconstitution

    • Use sterile technique when handling antibody solutions

    • Centrifuge vials briefly before opening to collect liquid at the bottom

  • Long-term Considerations:

    • For critical projects, reserve reference aliquots for validation

    • Consider generating renewable sources like hybridomas for crucial antibodies

    • Document performance changes as part of laboratory quality control

These strategies can help ensure consistent experimental results over extended research periods and maximize the value of Os07g0147900 Antibody in long-term research programs.

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